Table 5.
Comparison results of model classification performance with current research
| Method | Database (number) |
Accuracy (%) |
Sensitivity (%) |
Specificity (%) |
AUC | |
|---|---|---|---|---|---|---|
|
Lyu et al. [29] |
Multi-scale CNN |
LIDC-IDRI (865) |
84.10 | – | – | – |
|
Xie et al. [30] |
Fuse-TSD |
LIDC-IDRI (1990) |
89.53 | 84.19 | 92.02 | 0.9665 |
| Xie et al. [31] | MV-KBC |
LIDC-IDRI (1945) |
91.60 | 86.52 | 94.00 | 0.9570 |
|
Polat et al. [13] |
3D CNN + RBF |
Kaggle (2101) |
91.81 | 88.53 | 94.23 | – |
|
Causey et al. [32] |
3D CNN + QIF |
LIDC-IDRI (664) |
93.20 | 87.90 | 98.50 | 0.9710 |
| Our method | 3D CNN + Multi-Scale + Multi-Task |
LIDC-IDRI (962) |
93.92 | 92.60 | 96.25 | 0.9790 |